Coding Implementation to End-to-End Transformer Model Optimization with Hugging Face Optimum, ONNX Runtime, and Quantization
In this tutorial, we stroll by how we use Hugging Face Optimum to optimize Transformer fashions and make them quicker whereas sustaining accuracy. We start by establishing DistilBERT on the SST-2 dataset, and then we evaluate completely different execution engines, together with plain PyTorch and torch.compile, ONNX Runtime, and quantized ONNX. By doing this step-by-step,…
